Testing Guides & Best Practices

Deep dive into safe runtime autopatching: capture signals, synthesize minimal repros, generate patches, prove with tests, canary, and roll back — powered by code debugging AI. Includes risk models, approvals, and audit trails.

Most LLM bug fixes guess. Learn how to pipe logs, stack traces, replays, and failing tests into your code debugging AI to get reproducible fixes, fewer regressions, and CI-ready patches.

A blueprint for safely deploying code debugging AI in production: sandboxed execution, property tests, semantic patch diffs, trace recording, automated rollback, and trust metrics that catch regressions before they hit users.

A deep dive into the Model Context Protocol (MCP): what it is, how it differs from LSP/DAP and OpenAPI, how to build an MCP server, capability negotiation, security and sandboxing, real-world integration patterns, a pragmatic migration path—and where MCP may fall short.

A hands-on guide to MCP: designing a secure tool server, schemas, auth, streaming, and state. Ship one integration that runs in Claude, ChatGPT, and editors like VS Code—no bespoke adapters or per-model rewrites.

A practical, opinionated deep dive into the Model Context Protocol (MCP): how it works, why it matters, security/governance trade‑offs, capability discovery, and a step-by-step guide to building an MCP server that safely exposes internal tools to IDE copilots and agentic workflows.

A practical, opinionated guide to building pre-prompt middleware for Claude that injects PM context, acceptance criteria, and coding standards into every LLM call, improving consistency and velocity without boilerplate.

Quantum‑safe defaults are landing in TLS, SSH, and code signing. Enable hybrid X25519+Kyber, plan key/cert rotations, test compatibility, and prep CI/CD and Sigstore for PQC—without breaking clients or blowing SLOs.

A pragmatic 2025 guide to adopting HTTP/3/QUIC for internal APIs: when it beats HTTP/2, gRPC over h3 support, 0‑RTT and amplification risks, LB/proxy readiness, observability and mTLS pitfalls, and a step‑by‑step migration and fallback plan.

Stop performance regressions before prod. Capture EXPLAIN plans in CI, diff fingerprints across PRs, set per-query latency and row-est budgets, and tame plan churn with stable stats, hints, and seeded test data for ORMs.

A hands-on playbook for overload-proof systems in 2025: token buckets, concurrency limiters, queue time SLOs, adaptive shedding, hedged requests, bulkheads, and end-to-end flow control using Envoy, gRPC, and Kubernetes.

Turn fuzzing from a weekend experiment into a reliable quality gate. Learn how to wire libFuzzer and AFL++ into CI/CD, build seed corpora, use ASan/UBSan, triage crashes, and fuzz HTTP/JSON/gRPC—not just parsers—across C/C++, Rust, and Go.

A technical, opinionated guide to Valkey, Microsoft Garnet, Dragonfly, and KeyDB after Redis’s licensing pivot—covering protocol/modules, clustering, persistence, performance tradeoffs, and a phased, low-risk migration and rollback playbook.